Course Curriculum: AI-Generated Art

Course Curriculum: AI-Generated Art

Course Duration: 10 Weeks
Level: Beginner to Intermediate
Prerequisites: Basic understanding of digital art or programming (optional)

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Week 1: Introduction to AI in Art

• Overview of AI-generated art and its impact
• History: From early generative art to modern AI tools
• Ethical and philosophical discussions in AI art
• Exploring different AI models used in art

Assignment: Research an AI artist and write a short report

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Week 2: Understanding Generative AI and Neural Networks

• How AI understands and generates images
• Basics of deep learning and neural networks
• Key AI models: GANs, VAEs, and Diffusion Models
• The role of data in AI-generated art

Assignment: Create a concept map of how AI models generate art

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Week 3: Hands-on with AI Art Tools

• Overview of AI art tools (DALL·E, Midjourney, Stable Diffusion, Runway ML)
• Text-to-image vs. style transfer vs. procedural generation
• Setting up and using an AI art tool

Assignment: Generate an artwork using an AI tool and present it

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Week 4: Prompt Engineering for AI Art

• How to craft effective prompts
• Understanding prompt weight, negative prompts, and modifiers
• Experimenting with different prompt styles

Assignment: Create multiple artworks using variations of the same prompt

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Week 5: Style Transfer & Image Manipulation

• Exploring style transfer techniques
• Using AI to remix and reimagine existing artworks
• Combining AI tools with traditional digital art

Assignment: Apply style transfer to an image and analyze the results

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Week 6: Custom AI Training & Fine-Tuning

• Introduction to training custom models
• Dataset preparation and considerations
• Using tools like DreamBooth and LoRA for fine-tuning

Assignment: Train a model on a specific style and generate images

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Week 7: AI Animation & 3D Art

• Using AI to generate animations
• AI in 3D modeling and text-to-3D tools
• Exploring motion capture and AI-driven video editing

Assignment: Create a short AI-generated animation or 3D model

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Week 8: Legal & Ethical Considerations in AI Art

• Copyright and ownership issues
• AI bias and ethical implications
• Fair use and commercial applications

Assignment: Write a case study on a legal or ethical issue in AI art

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Week 9: Combining AI with Traditional Art Techniques

• Using AI as a creative assistant rather than a replacement
• Mixed media workflows (AI + Photoshop, AI + hand-drawn elements)
• AI-assisted storytelling and concept art

Assignment: Create a mixed-media artwork combining AI with another medium

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Week 10: Final Project & Exhibition

• Presenting AI-generated artworks
• Feedback and critique sessions
• Future of AI in art and career opportunities

Final Project: Create a series of AI-generated artworks with a central theme and present them in an online exhibition